Author

Maiana de Oliveira Cerqueira e Costa

Laboratório Nacional de Computação CientíficaORCID 0000-0003-3819-3138Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Marisa Fabiana NicolasiD· 2 shared Agnes Marie Sá FigueiredoiD· 1 shared Alba Cristina Magalhães Alves de MeloiD· 1 shared Alice Slotfeldt VianaiD· 1 shared Andrea Henriques‐PonsiD· 1 shared Anna Cristina Calçada CarvalhoiD· 1 shared Carolina Albuquerque Massena RibeiroiD· 1 shared Edgardo Galán-VásqueziD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersBioinformatics

Marisa Fabiana NicolasORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintNov 26, 2025

Transcriptional Profiling and Co-expression Integration for the Filtering of Relevant Bacterial sRNA-mRNA Interactions: Application to Staphylococcus aureus Biofilm

Carolina Albuquerque Massena Ribeiro, Guadalupe Quispe Saji, Maiana de Oliveira Cerqueira e Costa…·Marisa Fabiana Nicolas

The paper integrates RNA-seq data to identify sRNA-mRNA interactions in S. aureus biofilms, prioritizing candidates through differential expression and co-expression analysis.

DOI 10.1101/2025.11.26.690695

humanbulk RNA-seq

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BioinformaticsbioRxivPreprintApr 19, 2023

CellHeap: A scRNA-seq workflow for large-scalebioinformatics data analysis

Maria Clicia Castro, Vanessa S. Silva, Maiana de Oliveira Cerqueira e Costa…·Fabrício Alves Barbosa da Silva

CellHeap is a scRNA-seq analysis platform designed for large-scale data processing, demonstrating improved execution time through parallelization and identifying upregulated Fc receptors in severe COVID-19 cases.

1 citation

humanscRNA-seq

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